Software engineers often think adding AI is just a simple API call, but moving from a Proof of Concept to a stable production system requires a completely different mindset. Maria Vechtomova breaks down the harsh reality of MLOps, why rigorous evaluation is non-negotiable, and why autonomous agents are riskier than you think.

In this episode, we cover:

The essential MLOps principles every software engineer must learn How to bridge the gap between a demo and a production-grade solution Strategies for evaluating agents and detecting model drift The security risks of customer service agents and prompt injection Practical tips for using AI tools to boost your own productivity